The Recorded Brahms Corpus (RBC)
A Dataset of Performative Parameters in Recordings of Brahms's Cello Sonatas
Bibliographic Data
| ID | 21749098 |
|---|---|
| Authors | Ana Llorens (0000-0001-7290-9617, Universidad Complutense de Madrid, corresponding author) |
| Year | 2021 |
| Volume | 16 |
| Issue | 1 |
| Pages | 124-133 |
| Publication date | 2021-12-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Empirical Musicology Review (JOURNAL) |
| Journal identifiers | ISSN: 1559-5749 • E-ISSN: 1559-5749 |
| Publisher | The Ohio State University Libraries (PUBLISHER • US) |
| DOI | 10.18061/emr.v16i1.7612 |
| OpenAlex | W4200029946 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
This report describes the open-source Recorded Brahms Corpus (RBC) dataset, as well as the methods employed to extract and process the data. The dataset contains (micro)timing and dynamic data from 21 recordings of Brahms's Cello Sonatas, Opp. 38 and 99, focusing on note and beat onsets and duration, tempo fluctuations, and dynamic variations. Consistent manual annotation of the corpus in Sonic Visualiser was necessary prior to automatic extraction. Data for each recording and measurement unit are given as TXT files. Scores in various digital formats, the original SV files and diamond-shaped scape plots visualizations of the data are offered too. Expansion of the corpus with further movements of the sonatas, further recordings thereof and other compositions by Brahms is planned. The study of the data may contribute to performance studies and music theory alike
Natural language processing · Speech recognition · Computer Science · Diverse Musicological Studies · Music and Audio Processing · Music Technology and Sound Studies · Artificial Intelligence
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |